Matthew C. Fitzpatrick
- Ecological Modeling top 0.05%
- Species Distribution and Climate Change 34
- Nature and Landscape Conservation top 0.5%
- Ecology and Vegetation Dynamics Studies 27
- Ecology top 0.5%
- Wildlife Ecology and Conservation 15
- Forest Insect Ecology and Management 8
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- Plant and animal studies 13
- Global and Planetary Change top 1%
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- Genetic diversity and population structure 11
- Genetic and phenotypic traits in livestock 8
- Insect and Arachnid Ecology and Behavior 6
- Co-authors
- Stephen R. KellerJohn BungeJessica L. BloisRobert R. DunnNathan J. SandersSimon FerrierJohn W. WilliamsWilliam W. Hargrove
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Matthew C. Fitzpatrick
69 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Ecological Modeling 3.4k
- Nature and Landscape Conservation 2.7k
- Ecology 3.0k
- Ecology, Evolution, Behavior and Systematics 1.9k
- Global and Planetary Change 1.3k
Countries citing papers authored by Matthew C. Fitzpatrick
This map shows the geographic impact of Matthew C. Fitzpatrick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew C. Fitzpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Fitzpatrick more than expected).
Fields of papers citing papers by Matthew C. Fitzpatrick
This network shows the impact of papers produced by Matthew C. Fitzpatrick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew C. Fitzpatrick. The network helps show where Matthew C. Fitzpatrick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew C. Fitzpatrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 88 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 84 | |
| 11 | 2018 | 54 | |
| 12 | Ecological genomics meets community‐level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptationbreakdown → | 2014 | 466 |
| 13 | 2013 | 36 | |
| 14 | Space can substitute for time in predicting climate-change effects on biodiversitybreakdown → | 2013 | 561 |
| 15 | 2011 | 64 | |
| 16 | 2011 | 80 | |
| 17 | 2010 | 30 | |
| 18 | 2009 | 194 | |
| 19 | 2007 | 28 | |
| 20 | 1995 | 19 |
About Matthew C. Fitzpatrick
Matthew C. Fitzpatrick is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 69 papers that have together received 7.2k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (27 papers), Wildlife Ecology and Conservation (15 papers), Plant and animal studies (13 papers), Genetic diversity and population structure (11 papers), Genetic and phenotypic traits in livestock (8 papers), Forest Insect Ecology and Management (8 papers) and Insect and Arachnid Ecology and Behavior (6 papers). The work is most often cited by research in Ecological Modeling (3.4k citations), Nature and Landscape Conservation (2.7k citations) and Ecology (3.0k citations). Matthew C. Fitzpatrick has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Stephen R. Keller, John Bunge, Jessica L. Blois, Robert R. Dunn, Nathan J. Sanders, Simon Ferrier, John W. Williams, William W. Hargrove, Seth Finnegan and Phoebe L. Zarnetske.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.